Early Warning System

Open Access Article

1 - A frequency-based parameter for rapid estimation of magnitude
Sanam Atefi Reza Heidari Noorbakhsh Mirzaei Hamid Reza Siahkoohi

10.1007/s40094-018-0273-4

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Open Access Article

2 - Introducing an Early Warning System for High Volatility in Tehran Stock Exchange: Markov Switching GARCH Approach
Younes Nademi Esmaeil Abounoori Zahra Elmi

The goal of this paper is to introduce a new model to predict the high volatility of Tehran Stock Exchange. For do it, a Markov switching GARCH models was modeled. With Estimating this model, the transition probability matrix of two states of high and low volatility, wa More

The goal of this paper is to introduce a new model to predict the high volatility of Tehran Stock Exchange. For do it, a Markov switching GARCH models was modeled. With Estimating this model, the transition probability matrix of two states of high and low volatility, was calculated. Using this matrix, we can forecast the probability of market fluctuations in the each period ahead and we can obtain a suitable model for forecasting high volatility. According to the model selection criteria consist of AIC and BIC, the Markov regime switching GARCH model with GED distribution is the best model for forecasting volatility in Tehran Stock Exchange. Based on this model, in this paper, an Early Warning System has been introduced in Tehran Stock Exchange. This model can be used for policy makers to prevent the occurrence of high volatility and to increase the security of investors in Tehran Stock Exchange. Manuscript profile

Open Access Article

3 - The Designing Early Warning System of Financial Crisis Outbreak in Tehran Stock Exchange by Logit & Probit Model
alireza gholizadeh Mir Feiz Fallah Shams Mohammad Ali Afshar Kazemi

Encountering with financial crises of supervision and predicting such these events which are necessary to decrease their negative effects on finanicial and economical markets. The current paper is aimed to review the designing the early warning system of financial crisi More

Encountering with financial crises of supervision and predicting such these events which are necessary to decrease their negative effects on finanicial and economical markets. The current paper is aimed to review the designing the early warning system of financial crisis outbreak in Tehran stock Exchange. Due to this purpose, it’s used the weekly datas during the years from 1997 to 2019 (1121 weeks). The mean of crises in this present papper is the falling more than 15% of price index (TEPIX) toward last three months. Hence, it’s been used the dummy variable for operating the dependent variable. It’s been used the residual of auto regressive integrated moving average (ARIMA) for measuring the shocks caused by the price of stocks, exchange rate, price of oil and gold. The result is modeled by Logit & Probit model and showed that probability of the crisis outbreak is increased by decreasing the stock price in past period as well as the outbreaking of crisis in past period after reviewing and analyzing the data. While the decreasing of exchange rate, increasing of the gold price, and decreasing of oil price don’t affect on crisis outbreak in current periods as meaningfully. Based on weekly data, 44 crisis has occurred which both models have predicted 36 crisis. The power of crisis predicting is 82% and the power of predicting for total model is about 99%. Manuscript profile

Open Access Article

4 - Analyzing financial stability with emphasis on banking sector in Iran: An early warning system approach
ژاله زارعی اکبر کمیجانی

In the literature, the financial stability is defined as a condition that systematic crises do not threaten the stability of the macroeconomy. Financial instability and its great shock on real output in many countries faced with economic crisis have demonstrated the nee More

In the literature, the financial stability is defined as a condition that systematic crises do not threaten the stability of the macroeconomy. Financial instability and its great shock on real output in many countries faced with economic crisis have demonstrated the need and importance of developing models for prediction and prevention of crises for economic planners  and make them able to investigate the causes of crisis and prevent its  recurrence as well. In this study, an early warning system of bank crisis  for Iran has been estimated by using probabilistic method(probit approach), for the 2002- 2011 The probable function designed in this paper shows that three variables, weight average of the real interest rate of banking deposit, weight average of the real interest rate of banking credit and the growth rate of property price, are the three predicators of probability of the banking crisis. The specified model in this study has signaled the banking crises and in 92 percent of the cases in which crises have happened the model has been able predicate it with probability of more than 40 percent and  Only, 7.14 percent has been missed and 9.52 percent has signaled wrongly. Hence, it confirms the relative predictive power of our model in crises period. Manuscript profile

Open Access Article

5 - The Designing Early Warning System of Financial Crisis Outbreak in Tehran Stock Exchange by Decision Tree
Alireza Gholizadeh mirfeiz Fallahshams Mohammad Ali Afsharkazemi

The main purpose of this paper is to predict financial crisis in stock exchange market along with designing warning syetem by data analysis and then to present to financial policy makers for preventing the outbreak or decreasing the effects of crisis. Due to this purpos More

The main purpose of this paper is to predict financial crisis in stock exchange market along with designing warning syetem by data analysis and then to present to financial policy makers for preventing the outbreak or decreasing the effects of crisis. Due to this purpose, it’s used the weekly datas during the years from 10.03.1997 to 03.22.2019. The mean of crises in this present paper is the falling more than 15% of stock price rather to last three months. Hence, it’s been used the dummy variable for operating the dependent variable. It’s been used the residual of autoregressive integrated moving average (ARIMA) for measuring the shocks caused by the index of stock price, exchange rate, price of oil and gold. Based on the results by the different data showed the financial crisis outbreak is the most important variable for predicting the crisis of Tehran stock exchange in weekly data in the last periods. Hence it’s claimed that falling the stock index is affected the value of index in the last periods more than external shock including shock of exchange rate as well as gold and oil. As it’s determined the detection accuracy of crisis is 81.82%, the same for all trees. It means that 36 crisises have been predicted and recognized from the 44 ocurred crisises during the mentioned periods (1121 weeks). Manuscript profile

Open Access Article

6 - Introducing Early Warning System for Solvency of Iranian Insurance Companies, Using Pane data method
Mahmoud Haghverdilou Kambiz Peykarjou gholam reza zomorodianS

Financial solvency is one of the essential components that illustrates financial status of a financial enterprise, at large, or an insurance company to be specific. In addition to solvency ratio, other metrics and indices are also early warning indicators of an upcoming More

Financial solvency is one of the essential components that illustrates financial status of a financial enterprise, at large, or an insurance company to be specific. In addition to solvency ratio, other metrics and indices are also early warning indicators of an upcoming crisis in insurance industry. Therefore, the main purpose of the present paper is to provide a model for an early warning system of solvency for insurance companies and Iranian insurance companies in particular. To this end, a number of indexes and ratios, as independent variables affecting solvency, are selected and classified as economic, corporate, and corporate governance, that distinct this article from other studies. In this respect, the empirical model of research was estimated by econometric method of panel data for 18 Iranian companies during 1387-1396. The results of the research depict that interest rates with one-period delay and the change in board of directors have the most and the least impact on Iranian insurers’ solvency, respectively. Also, due to its cube strength, the impact of loss ratio differs in various quantities. Moreover, all hypotheses that are based on meaningful impact of variables on financial solvency of Iranian insurers are verified; including macroeconomic (inflation rate with one delay), interest rate (with one delay), economic growth (with one delay), corporate variables (ratio of investments in risky assets to all assets), loss ratio, the Herfindahl–Hirschman Index, and corporate governance (percentage of major shareholder’s ownership and change in board of directors) along with international economic sanctions. Manuscript profile

Open Access Article

7 - Identification and Prediction of Banking Crisis in Iran
Z. Zarei A. Komijani

Abstract This study uses the early warning system approach to predict banking crisis in Iran during 1990Q1– 2013Q4. To achieve the goal, Money Market Pressure index approach will be used by Markov Switching Model. The results indicate that, although, based on gov More

Abstract This study uses the early warning system approach to predict banking crisis in Iran during 1990Q1– 2013Q4. To achieve the goal, Money Market Pressure index approach will be used by Markov Switching Model. The results indicate that, although, based on governmental supporting, the banking section in Iran has never encountered the phenomena such as bank run and bankruptcy, but it has also experienced banking crisis. Likewise, the assessment of probit model suggests that some indexes are leading banking crisis probability. These indicators include the variables of real exchange rate growth, the growth rate of credit endowed to private sector, real GDP, housing price, and real interest rate. Furthermore, the measures of expectation-prediction represent that the model developed has considerable potential to predict in sample banking crisis. Also, this model is unsuccessful in the prediction of the crisis in only 12 percent, but capable of predicting crisis in 77 percent of cases, where the crisis has occurred with probability of more than 40 percent. Manuscript profile

Open Access Article

8 - Predicting systematic banking crisis in selected developed countries by multiple logit method
Mohammad Reza Asgarian Saeed Daei Karimzadeh Hossein Sharifi Renani

In this paper, in order to deal with systematic banking crises that lead to turmoil in various economic sectors, using the multiple logit method, the factors affecting the probability of banking crises in 27 selected developed countries during the period 1994-2018 were More

In this paper, in order to deal with systematic banking crises that lead to turmoil in various economic sectors, using the multiple logit method, the factors affecting the probability of banking crises in 27 selected developed countries during the period 1994-2018 were predicted. The results indicate the positive effect of inflation rate variables in the pre- and post-crisis period and the positive effect of the percentage of real interest rate changes in the post-crisis period on the probability of banking crisis. Economic growth rate and per capita production had a positive effect on the likelihood of a banking crisis in the pre-crisis period, but given the negative effect of these two variables in the post-crisis period, Granting bank loans to the private sector in the pre-crisis period had a negative effect on the likelihood of a banking crisis and doing it in the post-crisis period had a positive effect on it. Manuscript profile

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